metadata
datasets:
- CodeHima/TOS_DatasetV3
language:
- en
metrics:
- accuracy
base_model: distilbert/distilbert-base-uncased
pipeline_tag: text-classification
library_name: transformers
TOS-DistilBERT
- Model type: [DistilBERT]
- Training data: [This model is finetuned on "CodeHima/TOS_DatasetV3".]
- Intended use: [This model is used to classify the terms of documents according to their unfairness level.]
Usage
Here's a quick example of how to use the model:
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("prasannadhungana8848/TOS-DistilBERT")
tokenizer = AutoTokenizer.from_pretrained("prasannadhungana8848/TOS-DistilBERT")